Dynamics of EEG Entropy: beyond signal plus noise

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dc.creatorIgnaccolo, M.
dc.creatorLatka, M.
dc.creatorJernajczyk, W.
dc.creatorGrigolini, P.
dc.creatorWest, B. J.
dc.date2009-02-06
dc.date.accessioned2026-07-07T12:38:55Z
dc.date.available2026-07-07T12:38:55Z
dc.descriptionEEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context. Detrended fluctuation analysis of the EEG data is compared with diffusion entropy analysis and is found to suppress certain important properties of the EEG time series.
dc.descriptionDoes the signal plus noise paradigm apply to Electroencephalograms? Detrended Fluctuations Analysis vs Diffusion Entropy
dc.identifierhttps://arxiv.org/abs/0902.1113
dc.identifierhttp://arxiv.org/abs/0902.1113
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/218934
dc.subjectData Analysis, Statistics and Probability
dc.titleDynamics of EEG Entropy: beyond signal plus noise
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